Student Practice Workbook with IBM® SPSS® for Research Methods, Statistics, and Applications

Kathrynn (Kathy) A. Adams earned her PhD in general experimental psychology from the University of Alabama in 1977. She was a Charles A. Dana Professor of Psychology at Guilford College when she retired in 2017 after 37 years of teaching. Her professional interests include gender issues, relationships, and teaching pedagogy. She worked with the Preparing Future Faculty Program for 20 years and helped establish the Early College at Guilford, a nationally ranked high school. In her spare time, she spends as much time as possible outdoors, practices yoga, and bakes chocolate desserts.Eva K. McGuire earned her PhD in clinical psychology from Virginia Commonwealth University in 2002. She is a Charles A. Dana Professor of Psychology at Guilford College, where she has taught since 2003. Her research interests include environmental psychology and computer-mediated communication. Eva enjoys walking, yoga, and bike riding, and she loves to listen to live music.

• PrefacePublisher’s AcknowledgmentsAbout the AuthorsChapter 1: Thinking Like a ResearcherChapter SummaryChapter 1 ExercisesYour ResearchChapter 2: Build a Solid Foundation for Your Study Based on Past ResearchChapter SummaryChapter 2 ExercisesChapter 3: Select Your Tools: How to Measure Your VariablesChapter SummaryChapter 3 ExercisesChapter 4: The Cornerstones of Good Research: Reliability and ValidityChapter SummaryChapter 4 ExercisesChapter 5: Basics of Research Design: Description and SamplingChapter SummaryChapter 5 ExercisesChapter 6: Describing Your SampleChapter SummaryChapter 6 ExercisesChapter 7: Beyond Descriptives: Making Inferences Based on Your SampleChapter SummaryChapter 7 ExercisesChapter 8: Comparing Your Sample to a Known or Expected ScoreChapter SummaryChapter 8 ExercisesChapter 9: Examining Relationships Among Your Variables: Correlational DesignChapter SummaryChapter 9 ExercisesChapter 10: Examining CausalityChapter SummaryChapter 10 ExercisesChapter 11: Independent-Groups DesignsChapter SummaryChapter 11 ExercisesChapter 12: Dependent-Groups DesignsChapter SummaryChapter 12 ExercisesChapter 13: Factorial DesignsChapter SummaryChapter 13 ExercisesChapter 14: Nonparametric StatisticsChapter SummaryChapter 14 ExercisesChapter 15: Focusing on the Individual: Case Studies and Single N DesignsChapter SummaryChapter 15 ExercisesChapter 16: How to Decide? Choosing a Research Design and Selecting the Correct AnalysisChapter SummaryChapter 16 ExercisesIBM® SPSS® Part 1: Fundamentals of Data AnalysisBefore You BeginData EntryCreate Scale ScoresManaging DataPart 1 Practice ExercisesIBM® SPSS® Part 2: Analyses to Examine One Variable at a TimeDescriptive StatisticsConfidence IntervalsOne-Sample t TestChi-Square Goodness of FitIBM® SPSS® Part 3: Analyses to Examine Relationships (No Groups)Pearson’s r and Spearman’s RhoLinear RegressionPart 3 Practice ExercisesIBM® SPSS® Part 4: Analyses to Compare Independent GroupsParametric vs. Nonparametric StatisticsIndependent-Samples t TestOne-Way Between-Subjects ANOVATwo-Way Between-Subjects ANOVA (or Three-way, etc.)Nonparametric StatisticsIBM® SPSS® Part 5: Analyses for Dependent Groups and Mixed DesignsParametric vs. Nonparametric StatisticsDependent-Samples t TestOne-Way Within-Subjects ANOVATwo-Way Within-Subjects ANOVA and Mixed ANOVANonparametric StatisticsIBM® SPSS® Part 6: Quick GuidesAnalyses to Examine One Variable at a TimeAnalyses to Examine Relationships (No Groups)Analyses to Compare Independent Groups: ParametricAnalyses to Compare Independent Groups: NonparametricAnalyses for Dependent Groups and Mixed Designs: ParametricAnalyses for Dependent Groups and Mixed Designs: Nonparametric